Deepfake Detection Challenge Dataset🔒 SSL Verified

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• ↓ Overview
• ↓ Download Prerequisites
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• ↓ Results and Impact of the DFDC
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"The Deepfake Detection Challenge Dataset is designed to measure progress on deepfake detection technology."

"We partnered with other industry leaders and academic experts in September 2019 to create the Deepfake Detection Challenge (DFDC) in order to accelerate development of new ways to detect deepfake videos. In doing so, we created and shared a unique new dataset for the challenge consisting of more than 100,000 videos. The DFDC has enabled experts from around the world to come together, benchmark their deepfake detection models, try new approaches, and learn from each others’ work."

"This full dataset was used by participants during a Kaggle competition to create new and better models to detect manipulated media. The dataset was created by Facebook with paid actors who entered into an agreement to the use and manipulation of their likenesses in our creation of the dataset."

"We hope that by making this dataset available outside the challenge, the research community will continue to accelerate progress on detecting harmful manipulated media."

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Overview

Download Prerequisites

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Results and Impact of the DFDC